This book explores the growing influence of generative artificial intelligence in reshaping business practices, economic systems, and strategic decision-making. Centred on the theoretical foundations, computational models, and applied use cases of generative AI, it brings together contemporary research and real-world applications across key domains such as finance, markets, entrepreneurship, supply chains, policy analysis, and sustainability. The chapters address large language models, generative analytics, intelligent automation, predictive modelling, and human–AI collaboration in economic and organizational contexts. By combining rigorous analytical approaches with practical insights, the book offers a timely reference to researchers, practitioners, students, and policymakers.